{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yfBkJ3nSV7gY"
      },
      "source": [
        "# Distributional Accuracy of Diffusion Graph Nets\n",
        "\n",
        "The following notebook shows how to run and evaluate trained diffusion graph net models (DGNs). It also evaluates the accuracy of the inferred distributions in comparison to popular baselines. In the experiments here, the training trajectories are intentionally short. Specifically, the trajectories are too short to cover one full oscillation period, meaning they do not explicitly provide full statistical information about the systems.\n",
        "[[run in colab]](https://colab.research.google.com/github/tum-pbs/pbdl-book/blob/main/probmodels-graph-ellipse.ipynb)\n",
        "\n",
        "```{admonition} Learning with Partial Statistics\n",
        ":class: tip\n",
        "The key point to demonstrate below is the following: the diffusion training manages to learn complete statistics by combining the information _across multiple_ initial conditions and geometries. This is a very powerful capability that sets it apart from other probabilistic learning methods.\n",
        "```\n",
        "\n",
        "The `Ellipse` task used below involves a canonical fluid dynamics problem: predicting the pressure $p$ field around an elliptical cylinder. It makes use of the graph-based representation by focusing solely on the surface of the immersed object, as shown below. This helps to reduce dimensionality, and as we'll focus on using pretrained models, it makes this notebook easy to run.\n",
        "\n",
        "```{figure} resources/probmodels-graph-ellipse.jpg\n",
        "---\n",
        "height: 200px\n",
        "name: probmodels-graph-ellipse\n",
        "---\n",
        "The `Ellipse` tasks focuses on predicting samples from the pressure distribution on the surface of a elliptical obstacle immersed in a fluid. The trained models should directly predict samples on the surface, without resolving the far field or the initial transient phase of the flow.\n",
        "```\n",
        "It's important to keep in mind that we don't resolve the full flow of time with this method (this was the task in {doc}`probmodels-time`). Rather, the goal is to very efficiently obtain samples from the equilibrium state of the simulation, as prescribed by the trianing data, not to resolve the evolution of an initial condition over time. A consequence is that trained models work on a graph that describes the geometry of the ellipse, but they are agnostic to time. They simply produce _one_ sample of the distribution of states through time.\n",
        "\n",
        "This in turn makes it more difficult to evaluate how closely a computed sample aligns with the ground truth: we don't know which sample out of the full distribution was generated! Thus, for a good test evaluation, it's important to have a densely sampled ground truth distribution, and for each sample inferred by a trained network, we'll search for the closest one in the test data set for the chosen input geometry. This can leave a small \"discretization error\" due to the discrete samples in the test set. It will nonetheless provide a good estimate of the distributional accuracy when enough samples are used on both sides, in terms of the test set itself, and the model outputs.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7rxDN82ZV7gZ"
      },
      "source": [
        "## Implementation\n",
        "\n",
        "The following notebook uses the `dgn4cfd` [code](https://github.com/tum-pbs/dgn4cfd/), and hence we'll import some basic libraries and clone the `dgn4cfd` repo below.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g8UeRkXvV7ga",
        "metadata": {},
        "outputId": "35219fb6-94a0-46f2-b811-ecfee017e214"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/897.5 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m890.9/897.5 kB\u001b[0m \u001b[31m44.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m897.5/897.5 kB\u001b[0m \u001b[31m25.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import torch, tqdm\n",
        "from torchvision import transforms\n",
        "import matplotlib.pyplot as plt\n",
        "device = torch.device('cuda:0')\n",
        "\n",
        "try:\n",
        "    import google.colab  # to ensure that we are inside colab\n",
        "    !pip install --upgrade --quiet torch_geometric bayesian_torch pot\n",
        "except ImportError:\n",
        "    print('This notebook is running locally, please make sure the necessary pip packages are installed.')\n",
        "    pass"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AEmOzgK9V7ga",
        "metadata": {},
        "outputId": "51f5e3a1-b3b9-4c1f-f125-1c00cde5ea85"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/dgn4cfd\n"
          ]
        }
      ],
      "source": [
        "# clone respository, note - deactivate for local installs\n",
        "!git clone https://github.com/tum-pbs/dgn4cfd\n",
        "%cd dgn4cfd/\n",
        "import dgn4cfd as dgn"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n0ziIcljV7ga"
      },
      "source": [
        "To keep runtimes of this notebook low, we'll simply load pre-trained models from the repository. We'll compare the following variants:\n",
        "- Diffusion Graph Net (DGN)\n",
        "- Latent Diffusion Graph Net (LDGN)\n",
        "- DGN (same as above) trained with Flow-Matching (FM-DGN)\n",
        "- LDGN with Flow-Matching (FM-LDGN)\n",
        "The last two show the advantages of the faster flow matching-based inference for the DGNs. Otherwise they're identical to the regular DGN/LDGN versions which use DDPM as underlying diffusion model.\n",
        "\n",
        "We'll also load and evaluate a few baseline models, first of all a regular graph net with the same architecture as the DGN versions above. It already contains all the architectural tweaks, such as a hierarchy, but can show how much we gain (or loose) just by switching the regular, supervised training with a diffusion modeling process. Naturally, the vanilla Grap Net is fully deterministic, and can't provide a full distribution.\n",
        "- Vanilla Graph Net\n",
        "- Bayesian Graph Net\n",
        "- Gaussian Mixure Graph Net\n",
        "- Variational Graph Autoencoder (VGAE)\n",
        "\n",
        "The last three baselines are probabilistic models, and as such they compete more directly with DGN: one would hope that they can likewise learn the posterior from the training data. As we'll see, DGN outperforms these baselines quite clearly.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "VKm0gugyV7ga",
        "metadata": {}
      },
      "outputs": [],
      "source": [
        "# Diffusion Graph Net\n",
        "DGN = dgn.nn.DiffusionGraphNet(\n",
        "    checkpoint = \"./examples/Ellipse/checkpoints/dgn-nt10.chk\",\n",
        "    device     = device,\n",
        ")\n",
        "\n",
        "# Latent Diffusion Graph Net\n",
        "LDGN = dgn.nn.LatentDiffusionGraphNet(\n",
        "    autoencoder_checkpoint = \"./examples/Ellipse/checkpoints/ae-nt10.chk\",\n",
        "    checkpoint             = \"./examples/Ellipse/checkpoints/ldgn-nt10.chk\",\n",
        "    device                 = device,\n",
        ")\n",
        "\n",
        "# Vanilla Graph Net\n",
        "VanillaGN = dgn.nn.VanillaGnn(\n",
        "    checkpoint = \"./examples/Ellipse/checkpoints/vanilla-nt10.chk\",\n",
        "    device     = device,\n",
        ")\n",
        "\n",
        "# Bayesian Graph Net\n",
        "BayesianGN = dgn.nn.BayesianGnn(\n",
        "    checkpoint = \"./examples/Ellipse/checkpoints/bayesian-nt10.chk\",\n",
        "    device     = device,\n",
        ")\n",
        "\n",
        "# Gassian Mixure Graph Net\n",
        "GaussianMixGN = dgn.nn.GaussianMixtureGnn(\n",
        "    checkpoint = \"./examples/Ellipse/checkpoints/gaussian-nt10.chk\",\n",
        "    device     = device,\n",
        ")\n",
        "\n",
        "# Variational Graph Autoencoder\n",
        "VGAE = dgn.nn.VGAE(\n",
        "    checkpoint = \"./examples/Ellipse/checkpoints/vgae-nt10.chk\",\n",
        "    device     = device,\n",
        ")\n",
        "\n",
        "# Flow-Matching Graph Net\n",
        "FMGN = dgn.nn.FlowMatchingGraphNet(\n",
        "    checkpoint = \"./examples/Ellipse/checkpoints/fmgn-nt10.chk\",\n",
        "    device     = device,\n",
        ")\n",
        "\n",
        "# Latent Flow-Matching Graph Net\n",
        "LFMGN = dgn.nn.LatentFlowMatchingGraphNet(\n",
        "    autoencoder_checkpoint = \"./examples/Ellipse/checkpoints/ae-nt10.chk\",\n",
        "    checkpoint             = \"./examples/Ellipse/checkpoints/lfmgn-nt10.chk\",\n",
        "    device                 = device,\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YXKk7INgV7gb"
      },
      "source": [
        "As a next step, we need a test dataset to evaluate our models with. The `dgn4cfd` codebase contains several test and training data sets, but we'll use the `pOnEllipseInDist` dataset which contains simulation parameters within the training range of values, although unseen. We'll also load the `TimeEllipseInDist` dataset, which contains the lenght for each simulation (two or three oscilation periods).\n",
        "\n",
        "The `transform` object configures the input geometries and meshes. In this example we'll use a hierarchy with 3 coarsened graph levels."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IFPW3RqdV7gb",
        "metadata": {},
        "outputId": "65a383ab-54ee-4c96-b49c-c186755422b6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Downloading dataset from https://huggingface.co/datasets/mariolinov/Ellipse/resolve/main/pOnEllipseInDist.h5...\n",
            "Dataset downloaded.\n",
            "Number of samples: 50\n",
            "Downloading dataset from https://huggingface.co/datasets/mariolinov/Ellipse/resolve/main/TimeEllipseInDist.npy...\n",
            "Dataset downloaded.\n"
          ]
        }
      ],
      "source": [
        "DATASET = dgn.datasets.DatasetUrl.pOnEllipseInDist\n",
        "TIME_DATASET = dgn.datasets.DatasetUrl.TimeEllipseInDist\n",
        "\n",
        "# Training dataset\n",
        "transform = transforms.Compose([\n",
        "    dgn.transforms.MeshEllipse(),                               # Create a mesh on the ellipse\n",
        "    dgn.transforms.ScaleEdgeAttr(0.02),                         # Scale the relative position stored as `edge_attr`\n",
        "    dgn.transforms.EdgeCondFreeStreamProjection(),              # Add the projection of the free stream velocity along the edges as `edge_cond`\n",
        "    dgn.transforms.ScaleAttr('target', vmin=-1.05, vmax=0.84),  # Scale the target field (pressure)\n",
        "    dgn.transforms.ScaleAttr('glob',   vmin=500,   vmax=1000),  # Scale the global feature (Re)\n",
        "    dgn.transforms.ScaleAttr('loc',    vmin=2,     vmax=3.5),   # Scale the local feature (distances to the walls)\n",
        "    dgn.transforms.MeshCoarsening(                              # Create 3 lower-resolution graphs and normalise the relative position betwen the inter-graph nodes.\n",
        "        num_scales      =  4,\n",
        "        rel_pos_scaling = [0.02, 0.06, 0.15, 0.3],\n",
        "        scalar_rel_pos  = True,\n",
        "    ),\n",
        "])\n",
        "dataset = dgn.datasets.pOnEllipse(\n",
        "    path          = dgn.datasets.DatasetDownloader(DATASET).file_path,\n",
        "    T             = 101,\n",
        "    transform     = transform,\n",
        ")\n",
        "print('Number of samples:', len(dataset))\n",
        "\n",
        "# Load the length of each simulation to compute statistics\n",
        "T = dgn.datasets.DatasetDownloader(TIME_DATASET).numpy()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cBAyoKyZV7gc"
      },
      "source": [
        "![Divider](resources/divider-gen6.jpg)\n",
        "\n",
        "\n",
        "## Sample-wise Accuracy\n",
        "The next cell defines a plotting function that shows the closest ground truth pressure distribution that was found in the reference data set in black next to the neural network outputs, shown in light red.\n",
        "\n",
        "The `SIM_IDX` variable chooses a specific flow condition from the test dataset (feel free to try others)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Os9aIglCV7gc",
        "metadata": {}
      },
      "outputs": [],
      "source": [
        "SIM_IDX = 25\n",
        "\n",
        "def plot(ax, pos, target, pred, r2, title):\n",
        "    pos = pos.cpu()\n",
        "    target = target.cpu()\n",
        "    pred = pred.cpu()\n",
        "    # Plots\n",
        "    top = pos[:, 1] >= 0.\n",
        "    bottom = torch.logical_not(top)\n",
        "    ax.plot(pos[top   , 0].cpu(), target[top   ].cpu(), 'k^', label='g.t.  top')\n",
        "    ax.plot(pos[bottom, 0].cpu(), target[bottom].cpu(), 'kv', label='g.t.  bottom')\n",
        "    ax.plot(pos[top,    0].cpu(), pred  [top   ].cpu(), '^', color=\"red\", label='pred. top', alpha=0.6)\n",
        "    ax.plot(pos[bottom, 0].cpu(), pred  [bottom].cpu(), 'v', color=\"red\", label='pred. bottom', alpha=0.6)\n",
        "    ax.set_title(title+r' ($R^2$ = ' + f\"{r2:.4f}\" + r')', fontsize=16)\n",
        "    ax.set_ylabel(r'$p$', fontsize=16)\n",
        "    ax.set_xlabel(r'$x$', fontsize=16)\n",
        "    ax.grid()\n",
        "    ax.legend(fontsize=16)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6qBhwbOVV7gc"
      },
      "source": [
        "The next cell creates a 3x3 grid of graphs with the `plot()` function. The first row will contain the DGN models, and the vanilla GN. The next row will show flow-matching in direct comparison to the DDPM versions in the first row, while the last one will contain the outputs of the remaining three baseline."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "HfJ_lK5QV7gc",
        "outputId": "8aef4489-0f83-4492-8def-ffe84f1f85b9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "DGN R2 = 0.9986 at t=74\n",
            "LDGN R2 = 0.9976 at t=15\n",
            "Vanilla Graph Net R2 = 0.9912 at t=6\n",
            "Flow-Matching Graph Net R2 = 0.9957 at t=28\n",
            "Latent Flow-Matching Graph Net R2 = 0.9983 at t=50\n",
            "Bayesian Graph Net R2 = 0.9820 at t=67\n",
            "Gaussian Mixture Graph Net R2 = 0.9799 at t=28\n",
            "VGAE R2 = 0.9994 at t=36\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1400x1400 with 9 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# denoising steps\n",
        "NUM_DENOISING_STEPS = 50\n",
        "# flow matching steps\n",
        "NUM_FM_STEPS = int(NUM_DENOISING_STEPS/10)+1\n",
        "\n",
        "fig, ax = plt.subplots(3, 3, figsize=(14, 14))\n",
        "ax = ax.flatten()\n",
        "curr_ax = 0\n",
        "\n",
        "graph = dataset.get_sequence(SIM_IDX, n_in=T[SIM_IDX])\n",
        "\n",
        "# DGN inference\n",
        "steps = dgn.nn.diffusion.DiffusionStepsGenerator('linear', DGN.diffusion_process.num_steps)(NUM_DENOISING_STEPS)\n",
        "pred = DGN.sample(graph, steps=steps)\n",
        "# Compute the accuracy\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"DGN R2 = {r2:.4f} at t={t}\")\n",
        "# Plot the results\n",
        "plot(ax[curr_ax],graph.pos, graph.target[:,t], pred, r2, \"DGN\")\n",
        "curr_ax += 1\n",
        "\n",
        "# LDGN inference\n",
        "steps = dgn.nn.diffusion.DiffusionStepsGenerator('linear', DGN.diffusion_process.num_steps)(NUM_DENOISING_STEPS)\n",
        "pred = LDGN.sample(graph, steps=steps)\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"LDGN R2 = {r2:.4f} at t={t}\")\n",
        "plot(ax[curr_ax],graph.pos, graph.target[:,t], pred, r2, \"LDGN\")\n",
        "curr_ax += 1\n",
        "\n",
        "# Vanilla Graph Net inference\n",
        "with torch.no_grad():\n",
        "    VanillaGN.eval()\n",
        "    pred = VanillaGN(graph)\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"Vanilla Graph Net R2 = {r2:.4f} at t={t}\")\n",
        "plot(ax[curr_ax], graph.pos, graph.target[:,t], pred, r2, \"Vanilla GNN\")\n",
        "curr_ax += 1\n",
        "\n",
        "# Flow matching versions\n",
        "\n",
        "# Flow-Matching Graph Net inference\n",
        "steps = np.linspace(0, 1, NUM_FM_STEPS)\n",
        "pred = FMGN.sample(graph, steps=steps)\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"Flow-Matching Graph Net R2 = {r2:.4f} at t={t}\")\n",
        "plot(ax[curr_ax],graph.pos, graph.target[:,t], pred, r2, \"FM-DGN\")\n",
        "curr_ax += 1\n",
        "\n",
        "# Latent Flow-Matching Graph Net inference\n",
        "steps = np.linspace(0, 1, NUM_FM_STEPS)\n",
        "pred = LFMGN.sample(graph, steps=steps)\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"Latent Flow-Matching Graph Net R2 = {r2:.4f} at t={t}\")\n",
        "plot(ax[curr_ax],graph.pos, graph.target[:,t], pred, r2, \"FM-LDGN\")\n",
        "curr_ax += 1\n",
        "\n",
        "# skip one cell\n",
        "curr_ax += 1\n",
        "\n",
        "# Other baselines following\n",
        "\n",
        "# Bayesian Graph Net inference\n",
        "pred = BayesianGN.sample(graph)\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"Bayesian Graph Net R2 = {r2:.4f} at t={t}\")\n",
        "plot(ax[curr_ax],graph.pos, graph.target[:,t], pred, r2, \"Bayes GNN\")\n",
        "curr_ax += 1\n",
        "\n",
        "# Gaussian Mixture Graph Net inference\n",
        "pred = GaussianMixGN.sample(graph)\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"Gaussian Mixture Graph Net R2 = {r2:.4f} at t={t}\")\n",
        "# Plot the results\n",
        "plot(ax[curr_ax],graph.pos, graph.target[:,t], pred, r2, \"Gauss. Mix\")\n",
        "curr_ax += 1\n",
        "\n",
        "# VGAE inference\n",
        "pred = VGAE.sample(graph)\n",
        "r2 = [dgn.metrics.r2_accuracy(pred, target) for target in graph.target.split(1, dim=1)]\n",
        "r2, t = np.max(r2), np.argmax(r2)\n",
        "print(f\"VGAE R2 = {r2:.4f} at t={t}\")\n",
        "# Plot the results\n",
        "plot(ax[curr_ax],graph.pos, graph.target[:,t], pred, r2, \"VGAE\")\n",
        "curr_ax += 1\n",
        "\n",
        "\n",
        "# Show the combined figure\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bwfY6tEYV7gd"
      },
      "source": [
        "There are a lot of graphs here, but they show several interesting aspects:\n",
        "* First of all, the DGN and its FM variants produce very accurate pressure distributions; typically only the DGN version is slightly noise with the default settings (the latent space model LDGN already performs better).\n",
        "* Flow matching uses one tenths of the steps (i.e. is 5x faster), but gives the same quality as denoising.\n",
        "* The Bayes GNN has problems, and the Gaussian Mixture model produces clearly suboptimal outputs. We actually tuned this GM model quite a bit, but to no avail.\n",
        "* The VGAE outputs often look surprisingly good here, but this holds only for a single sample. As we'll see, this model has trouble learning the proper distribution across many samples. This is more apparent in more chaotic and higher-dimensional tasks.\n",
        "\n",
        "One difficulty here is that we're only seeing a single output. You'll see that re-running the cell will produce variants, but naturally, we'll need a thorough evaluation of the distributional accuracy of the models to properly draw conclusions about their performance.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3WjCrVN1V7gd"
      },
      "source": [
        "![Divider](resources/divider-gen2.jpg)\n",
        "\n",
        "\n",
        "## Evaluating Distributional Accuracy\n",
        "\n",
        "To evaluate a large number of samples, and compute their node wise and graph-based Wasserstein distances. These quantified metrics are a good start, but it's still interesting to visualize the distributions to provide more intuition for how well or badly certain methods do. For this, we'll plot stacks of Gaussian kernel density estimates that show the distribution of pressure values along the length of the ellipses.\n",
        "\n",
        "These plots can directly be compared in terms of how much density they contain in different regions of the plot. For reference, the distribution of the ground truth data is shown in the first cell below.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "bHtJzPlOV7gd"
      },
      "outputs": [],
      "source": [
        "from scipy.stats import gaussian_kde\n",
        "\n",
        "def pdf(ax, pos, pred, title, vmin=None, vmax=None, w2_distance_1d=None, w2_distance_nd=None):\n",
        "    pos = pos.cpu()\n",
        "    ang = torch.atan2(pos[:,1], pos[:,0])\n",
        "    idx = torch.argsort(ang)\n",
        "    idx = idx[ang[idx] > 0]\n",
        "    y = pred[idx].cpu().numpy()\n",
        "    if vmin is None:\n",
        "        vmin = y.min() - 0.1\n",
        "    if vmax is None:\n",
        "        vmax = y.max() + 0.1\n",
        "    x = np.linspace(vmin, vmax, 1000)\n",
        "    f = np.stack([gaussian_kde(y[i])(x) for i in range(y.shape[0])])\n",
        "    f = f / f.max(axis=1)[:,None]\n",
        "\n",
        "    ax.imshow(np.flip(f.T), aspect='auto', cmap='binary')\n",
        "    ax.set_yticks(np.linspace(100, 900, 5), np.flip(np.round(x[np.linspace(100, 900, 5).astype(int)], 2)), fontsize=16)\n",
        "    ax.set_xticks([])\n",
        "    #ax.set_yticks(fontsize=16)\n",
        "    ax.set_title(title, fontsize=28)\n",
        "    # Add a label with the Wasserstein-2 distance\n",
        "    if w2_distance_1d is not None and w2_distance_nd is not None:\n",
        "        ax.text(0.2, 0.76,  r'$W_2^\\mathregular{node}$' + f'  = {w2_distance_1d:.4f} \\n' + r'$W_2^\\mathregular{graph}$' + f' = {w2_distance_nd:.4f}', fontsize=18, bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.2'), transform=ax.transAxes)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t36pDFd0V7ge"
      },
      "source": [
        "We'll use `NUM_SAMPLES = 200` below, and plot the distributions for ground truth and the 8 models below."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1g-xBDXoV7ge",
        "metadata": {},
        "outputId": "38a28f47-143e-4896-cd8c-f25ac95aa288"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": []
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "DGN\n",
            "R2 of mean: 0.9989 R2 of std: 0.9814\n",
            "Wasserstein-2 distance 1d: 0.0116\n",
            "Wasserstein-2 distance nd: 0.1536\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": []
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "LDGN\n",
            "R2 of mean: 0.9986 R2 of std: 0.9614\n",
            "Wasserstein-2 distance 1d: 0.0143\n",
            "Wasserstein-2 distance nd: 0.1787\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": []
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Flow-Matching DGN\n",
            "R2 of mean: 0.9976 R2 of std: 0.4237\n",
            "Wasserstein-2 distance 1d: 0.0235\n",
            "Wasserstein-2 distance nd: 0.2256\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": []
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Latent Flow-Matching DGN\n",
            "R2 of mean: 0.9985 R2 of std: 0.8425\n",
            "Wasserstein-2 distance 1d: 0.0154\n",
            "Wasserstein-2 distance nd: 0.1635\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 200/200 [00:04<00:00, 43.76it/s]\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Bayesian Graph Net\n",
            "R2 of mean: 0.9980 R2 of std: -0.6514\n",
            "Wasserstein-2 distance 1d: 0.0363\n",
            "Wasserstein-2 distance nd: 0.5987\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": []
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Gaussian Mixture Graph Net\n",
            "R2 of mean: 0.9708 R2 of std: 0.1079\n",
            "Wasserstein-2 distance 1d: 0.0535\n",
            "Wasserstein-2 distance nd: 0.7174\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": []
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "VGAE\n",
            "R2 of mean: 0.9994 R2 of std: 0.8818\n",
            "Wasserstein-2 distance 1d: 0.0130\n",
            "Wasserstein-2 distance nd: 0.2050\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1400x1400 with 9 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "NUM_SAMPLES = 200\n",
        "BATCH_SIZE  = 200 # Number of samples generated in parallel. Reduce this number if you run out of memory.\n",
        "\n",
        "fig, ax = plt.subplots(3, 3, figsize=(14, 14))\n",
        "ax = ax.flatten()\n",
        "curr_ax = 0\n",
        "\n",
        "graph = dataset.get_sequence(SIM_IDX, n_in=T[SIM_IDX])\n",
        "gt_mean = graph.target.mean(dim=1)\n",
        "gt_std  = graph.target.std (dim=1)\n",
        "# Plot the ground-truth PDF on the upper half of the ellipse\n",
        "vmin, vmax = graph.target.min().item() - 0.1, graph.target.max().item() + 0.1\n",
        "pdf(ax[curr_ax], graph.pos, graph.target, '*Ground truth*', vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1\n",
        "\n",
        "# DGN inference\n",
        "steps = dgn.nn.diffusion.DiffusionStepsGenerator('linear', DGN.diffusion_process.num_steps)(NUM_DENOISING_STEPS)\n",
        "pred = DGN.sample_n(NUM_SAMPLES, graph, steps=steps, batch_size=BATCH_SIZE).cpu().squeeze(-1)\n",
        "mean = pred.mean(dim=1)\n",
        "std  = pred.std (dim=1)\n",
        "# Compute the accuracy of the mean and std\n",
        "mean_r2 = dgn.metrics.r2_accuracy(mean, gt_mean)\n",
        "std_r2  = dgn.metrics.r2_accuracy(std , gt_std )\n",
        "print('DGN')\n",
        "print(f\"R2 of mean: {mean_r2:.4f}\", f\"R2 of std: {std_r2:.4f}\")\n",
        "# Compute the Wasserstein-2 distance\n",
        "w2_distance_1d = dgn.metrics.w2_distance_1d(pred, graph.target)\n",
        "w2_distance_nd = dgn.metrics.w2_distance_nd(pred, graph.target)\n",
        "print(f\"Wasserstein-2 distance 1d: {w2_distance_1d:.4f}\")\n",
        "print(f\"Wasserstein-2 distance nd: {w2_distance_nd:.4f}\")\n",
        "# Plot the PDF on the upper half of the ellipse\n",
        "pdf(ax[curr_ax], graph.pos, pred, 'DGN', w2_distance_1d=w2_distance_1d, w2_distance_nd=w2_distance_nd, vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1\n",
        "\n",
        "# LDGN inference\n",
        "steps = dgn.nn.diffusion.DiffusionStepsGenerator('linear', DGN.diffusion_process.num_steps)(NUM_DENOISING_STEPS)\n",
        "pred = LDGN.sample_n(NUM_SAMPLES, graph,  steps=steps, batch_size=BATCH_SIZE).cpu().squeeze(-1)\n",
        "mean = pred.mean(dim=1); std  = pred.std (dim=1)\n",
        "mean_r2 = dgn.metrics.r2_accuracy(mean, gt_mean)\n",
        "std_r2  = dgn.metrics.r2_accuracy(std , gt_std )\n",
        "print('LDGN'); print(f\"R2 of mean: {mean_r2:.4f}\", f\"R2 of std: {std_r2:.4f}\")\n",
        "\n",
        "w2_distance_1d = dgn.metrics.w2_distance_1d(pred, graph.target)\n",
        "w2_distance_nd = dgn.metrics.w2_distance_nd(pred, graph.target)\n",
        "print(f\"Wasserstein-2 distance 1d: {w2_distance_1d:.4f}\")\n",
        "print(f\"Wasserstein-2 distance nd: {w2_distance_nd:.4f}\")\n",
        "pdf(ax[curr_ax], graph.pos, pred, 'LDGN', w2_distance_1d=w2_distance_1d, w2_distance_nd=w2_distance_nd, vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1\n",
        "\n",
        "# skip one\n",
        "curr_ax += 1\n",
        "\n",
        "# FMGN inference\n",
        "steps = np.linspace(0, 1, NUM_FM_STEPS )\n",
        "pred = FMGN.sample_n(NUM_SAMPLES, graph, steps=steps, batch_size=BATCH_SIZE).cpu().squeeze(-1)\n",
        "mean = pred.mean(dim=1); std  = pred.std (dim=1)\n",
        "mean_r2 = dgn.metrics.r2_accuracy(mean, gt_mean)\n",
        "std_r2  = dgn.metrics.r2_accuracy(std , gt_std )\n",
        "print('Flow-Matching DGN'); print(f\"R2 of mean: {mean_r2:.4f}\", f\"R2 of std: {std_r2:.4f}\")\n",
        "w2_distance_1d = dgn.metrics.w2_distance_1d(pred, graph.target)\n",
        "w2_distance_nd = dgn.metrics.w2_distance_nd(pred, graph.target)\n",
        "print(f\"Wasserstein-2 distance 1d: {w2_distance_1d:.4f}\")\n",
        "print(f\"Wasserstein-2 distance nd: {w2_distance_nd:.4f}\")\n",
        "pdf(ax[curr_ax], graph.pos, pred, 'FM DGN', w2_distance_1d=w2_distance_1d, w2_distance_nd=w2_distance_nd, vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1\n",
        "\n",
        "# LFMGN inference\n",
        "steps = np.linspace(0, 1, NUM_FM_STEPS )\n",
        "pred = LFMGN.sample_n(NUM_SAMPLES, graph, steps=steps, batch_size=BATCH_SIZE).cpu().squeeze(-1)\n",
        "mean = pred.mean(dim=1); std  = pred.std (dim=1)\n",
        "mean_r2 = dgn.metrics.r2_accuracy(mean, gt_mean)\n",
        "std_r2  = dgn.metrics.r2_accuracy(std , gt_std )\n",
        "print('Latent Flow-Matching DGN'); print(f\"R2 of mean: {mean_r2:.4f}\", f\"R2 of std: {std_r2:.4f}\")\n",
        "w2_distance_1d = dgn.metrics.w2_distance_1d(pred, graph.target)\n",
        "w2_distance_nd = dgn.metrics.w2_distance_nd(pred, graph.target)\n",
        "print(f\"Wasserstein-2 distance 1d: {w2_distance_1d:.4f}\")\n",
        "print(f\"Wasserstein-2 distance nd: {w2_distance_nd:.4f}\")\n",
        "pdf(ax[curr_ax], graph.pos, pred, 'FM LDGN', w2_distance_1d=w2_distance_1d, w2_distance_nd=w2_distance_nd, vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1\n",
        "\n",
        "# Bayesian Graph Net inference\n",
        "pred_list = []\n",
        "for _ in tqdm.tqdm(range(NUM_SAMPLES)):\n",
        "    pred_list.append(\n",
        "        BayesianGN.sample(graph).cpu()\n",
        "    )\n",
        "pred = torch.concatenate(pred_list, dim=1)\n",
        "mean = pred.mean(dim=1); std  = pred.std (dim=1)\n",
        "mean_r2 = dgn.metrics.r2_accuracy(mean, gt_mean)\n",
        "std_r2  = dgn.metrics.r2_accuracy(std , gt_std )\n",
        "print('Bayesian Graph Net'); print(f\"R2 of mean: {mean_r2:.4f}\", f\"R2 of std: {std_r2:.4f}\")\n",
        "w2_distance_1d = dgn.metrics.w2_distance_1d(pred, graph.target)\n",
        "w2_distance_nd = dgn.metrics.w2_distance_nd(pred, graph.target)\n",
        "print(f\"Wasserstein-2 distance 1d: {w2_distance_1d:.4f}\")\n",
        "print(f\"Wasserstein-2 distance nd: {w2_distance_nd:.4f}\")\n",
        "pdf(ax[curr_ax], graph.pos, pred, 'Bayesian GNN', w2_distance_1d=w2_distance_1d, w2_distance_nd=w2_distance_nd, vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1\n",
        "\n",
        "# Gaussian Mixture Graph Net inference\n",
        "pred = GaussianMixGN.sample_n(NUM_SAMPLES, graph, batch_size=BATCH_SIZE).cpu().squeeze(-1)\n",
        "mean = pred.mean(dim=1); std  = pred.std (dim=1)\n",
        "mean_r2 = dgn.metrics.r2_accuracy(mean, gt_mean)\n",
        "std_r2  = dgn.metrics.r2_accuracy(std , gt_std )\n",
        "print('Gaussian Mixture Graph Net'); print(f\"R2 of mean: {mean_r2:.4f}\", f\"R2 of std: {std_r2:.4f}\")\n",
        "# Compute the Wasserstein-2 distance\n",
        "w2_distance_1d = dgn.metrics.w2_distance_1d(pred, graph.target)\n",
        "w2_distance_nd = dgn.metrics.w2_distance_nd(pred, graph.target)\n",
        "print(f\"Wasserstein-2 distance 1d: {w2_distance_1d:.4f}\")\n",
        "print(f\"Wasserstein-2 distance nd: {w2_distance_nd:.4f}\")\n",
        "pdf(ax[curr_ax], graph.pos, pred, 'GM-GNN', w2_distance_1d=w2_distance_1d, w2_distance_nd=w2_distance_nd, vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1\n",
        "\n",
        "# VGAE inference\n",
        "pred = VGAE.sample_n(NUM_SAMPLES, graph, batch_size=BATCH_SIZE).cpu().squeeze(-1)\n",
        "mean = pred.mean(dim=1); std  = pred.std (dim=1)\n",
        "mean_r2 = dgn.metrics.r2_accuracy(mean, gt_mean)\n",
        "std_r2  = dgn.metrics.r2_accuracy(std , gt_std )\n",
        "print('VGAE'); print(f\"R2 of mean: {mean_r2:.4f}\", f\"R2 of std: {std_r2:.4f}\")\n",
        "w2_distance_1d = dgn.metrics.w2_distance_1d(pred, graph.target)\n",
        "w2_distance_nd = dgn.metrics.w2_distance_nd(pred, graph.target)\n",
        "print(f\"Wasserstein-2 distance 1d: {w2_distance_1d:.4f}\")\n",
        "print(f\"Wasserstein-2 distance nd: {w2_distance_nd:.4f}\")\n",
        "pdf(ax[curr_ax], graph.pos, pred, 'VGAE', w2_distance_1d=w2_distance_1d, w2_distance_nd=w2_distance_nd, vmin=vmin, vmax=vmax)\n",
        "curr_ax += 1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zgGo2-XGV7ge"
      },
      "source": [
        "First, the ground truth distribution is worth a closer look: it's a bi-modal distribution, caused by the recurring vortex shedding behind the ellipse. Hence, it's important for models to capture the two extremes (regions with higher density), as well as the less dense inner part. Comparing the GT version with the distributions of the different approaches shows that the DGN methods faithfully reproduce the distribution. The noise of the regular DGN averages out to some extent here, it can even exhibit a performance that surpasses the LDGN version. As before, flow matching can produce these distributions at a fraction of the cost, and hence is generally preferable.\n",
        "\n",
        "The problems of the Baysian NN and the Gaussian mixture model very clearly show up in their distributions. The problems of the VGAE approach show up more clearly here: it has mode-collapse issues, which are even more severe in more complex scenarios.\n",
        "\n",
        "The graph-based Wasserstein distance largely captures the intuition behind the observations above, but fails to illustrate how well outer (and inner) parts of the distribution are matched. Nonetheless, it's of course crucial as a tool for higher-dimensional distributions such as those of the 3D wing case from the previous page.\n"
      ]
    }
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